The Computational Neuroscience of Vision focuses
on the visual information processing and computational operations in
the visual system that lead to representations of objects in the brain.

Chapters 1-6, describe the structure and function of
many of the cortical areas invovlved in this visual processing,
including the temporal lobe cortical visual areas where representations
of objects are found.

Chapter 7 describes the operation of neural networks
that provide a foundation for understanding how some of the
computations involved take place in cortical areas.

Chapter 8 describes different computational approaches
to the recognition of objects, and then develops a computational
approach to understanding how the visual system actually forms
representations of objects.

Chapters 9-11 provide a computational approach to
understanding how attention operates in the brain. In addition to
purely visual processing, Computational Neuroscience of Vision also
considers how visual inputs reach and are involved in the computations
underlying a range of behaviours, including short-term memory,
long-term memory, emotion and motivation, and the initiation of action.
The book thus provides a foundation for understanding the operation of
a number of different brain systems.

This book is relatively unique in integrating evidence
from the neurophysiology, neuroimaging, and neuropsychology of the
high-level visual processing systems in the brain and their connected
output systems with a computational framework based on biologically
plausible neural networks. The book will be of value to all those
interested in understanding how the brain works, and in understanding
vision, attention, memory, emotion, motivation, and action.